The loss network was a modified version of VGG-16 [1]} (all max-pooling layers were replaced with average pooling layers as suggested in [2]}), with its 16th layer as the content layer and the 4th, 9th, 16th, 23rd layers as the style layers. For comparison, we trained three SFN models with the P-FDB loss, the OFB loss, and without any temporal loss, respectively. We tried our best to make each model achieve its best performance by tuning the hyper-parameters.
